AI Researcher, 2027 Graduate U.S
Atlassian
San Francisco, CAFresher49m agovia LinkedIn
About The Role
Join Atlassian's Machine Learning Research team to work on advanced Machine Learning (ML) and Artificial Intelligence (AI) technologies. Focus areas include Large Language Models (LLMs), Generative AI, Search, Conversational Agents, and AI Optimization.
Key Responsibilities
- Design system and model architectures.
- Conduct rigorous experimentation and model evaluations.
- Apply AI/ML to product problems to improve Atlassian products.
- Contribute to Atlassian Intelligence features.
Requirements & Tech Stack
Required Qualifications
- Bachelor's degree or above in Computer Science or a relevant technical field.
- Currently enrolled full time in a Doctorate program in Computer Science, Statistics, Machine Learning, Operations Research, Data Science, Mathematics, or relevant work experience, graduating by August 2027.
- Strong foundation in AI/ML, LLMs, Optimization, and related techniques.
- Experience with research, publishing, building, and scaling machine learning models using large amounts of data.
- Agile development mindset.
- Must be able to obtain and maintain work authorization in the country of employment.
Preferred Qualifications
- Proficiency in Python programming.
- Expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib.
- Experience leveraging models from Hugging Face.
- Practical knowledge of applied machine learning and deep learning frameworks, like PyTorch.
- Exposure to Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and AI Optimization.
- Familiarity with state-of-the-art research in machine learning and AI, evidenced by coursework, publications, or projects.
- Publications in top-tier AI conferences or journals are an asset.
- Excels in solving ambiguous and complex problems.
Compensation
Base pay ranges for new hires in the United States:
- Zone A: $178,200 - $232,650
- Zone B: $160,380 - $209,385
- Zone C: $147,906 - $193,100
This role may also be eligible for benefits, bonuses, commissions, and equity.
Location
- Preferred co-location to Seattle, WA or San Francisco, CA.